When someone asks “what should I look out for when commissioning a corporate website?”, they no longer have to click one of ten blue links. They can read an AI Overview summary at the top of Google’s results page, or ask ChatGPT or Gemini and get a one-paragraph answer. A handful of source links sit beneath these answers, and being one of those links calls for different signals from ranking first in classic search.
GEO (Generative Engine Optimization) is the name for the technical and editorial work that helps these generative search systems understand your site correctly, choose it as a trustworthy source and cite it in their answers. It is not a magic tag or a single file; it means tackling content architecture, entity definitions, structured data and your brand’s footprint on external sources together.
How is it different from classic SEO?
- The unit is the passage, not the page: AI systems do not quote a whole page, but the section that answers the question directly. Every H2/H3 section needs to contain a clear answer that makes sense on its own.
- The entity, not the keyword: What your brand is, which service it provides and where, and who it is connected to must be defined consistently and in a machine-readable way.
- Being mentioned, not being clicked: The user may read the answer and never visit your site. Success is measured not only in traffic, but in whether your brand and accurate information appear in the answers.
Who is it for?
Companies that already have organic traffic and produce content but notice their competitors being mentioned in AI answers; B2B firms selling services and products that require expertise; and brands expanding into international markets with English or Arabic content. If your site has fundamental technical issues, we recommend shoring up the foundations first with Technical SEO work; GEO is built on top of that foundation.
